DocumentCode :
1377801
Title :
Quantized feedback stabilization of linear systems
Author :
Brockett, Roger W. ; Liberzon, Daniel
Author_Institution :
Div. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
Volume :
45
Issue :
7
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
1279
Lastpage :
1289
Abstract :
This paper addresses feedback stabilization problems for linear time-invariant control systems with saturating quantized measurements. We propose a new control design methodology, which relies on the possibility of changing the sensitivity of the quantizer while the system evolves. The equation that describes the evolution of the sensitivity with time (discrete rather than continuous in most cases) is interconnected with the given system (either continuous or discrete), resulting in a hybrid system. When applied to systems that are stabilizable by linear time-invariant feedback, this approach yields global asymptotic stability
Keywords :
asymptotic stability; continuous time systems; control system synthesis; discrete time systems; linear systems; sensitivity analysis; state feedback; asymptotic stability; continuous time systems; discrete time systems; hybrid systems; linear time-invariant systems; sensitivity analysis; stabilization; state feedback; Asymptotic stability; Communication system control; Control design; Control systems; Equations; Feedback control; Linear feedback control systems; Linear systems; Output feedback; Quantization;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.867021
Filename :
867021
Link To Document :
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